ridgregextra: Ridge Regression Parameter Estimation

It is a package that provides alternative approach for finding optimum parameters of ridge regression. This package focuses on finding the ridge parameter value k which makes the variance inflation factors closest to 1, while keeping them above 1 as addressed by Michael Kutner, Christopher Nachtsheim, John Neter, William Li (2004, ISBN:978-0073108742). Moreover, the package offers end-to-end functionality to find optimum k value and presents the detailed ridge regression results. Finally it shows three sets of graphs consisting k versus variance inflation factors, regression coefficients and standard errors of them.

Version:	0.1.1
Depends:	R (≥ 4.0.0), plotly (≥ 4.9.0), isdals (≥ 3.0.0), mctest (≥ 1.3.0), stats (≥ 4.0.0), graphics (≥ 4.0.0)
Published:	2023-11-25
Author:	Filiz Karadag [aut], Hakan Savas Sazak [aut], Olgun Aydin [cre]
Maintainer:	Olgun Aydin <olgun.aydin at pg.edu.pl>
BugReports:	https://github.com/filizkrdg/ridgregextra/issues
License:	GPL (≥ 3)
URL:	https://github.com/filizkrdg/ridgregextra
NeedsCompilation:	no
Materials:	README
CRAN checks:	ridgregextra results

Documentation:

Reference manual:

ridgregextra.pdf

Downloads:

Package source:	ridgregextra_0.1.1.tar.gz
Windows binaries:	r-devel: ridgregextra_0.1.1.zip, r-release: ridgregextra_0.1.1.zip, r-oldrel: ridgregextra_0.1.1.zip
macOS binaries:	r-release (arm64): ridgregextra_0.1.1.tgz, r-oldrel (arm64): ridgregextra_0.1.1.tgz, r-release (x86_64): ridgregextra_0.1.1.tgz, r-oldrel (x86_64): ridgregextra_0.1.1.tgz
Old sources:	ridgregextra archive

Linking:

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